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Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings (Lecture Notes in Artificial Intelligence, Band 8776) - Softcover

 
9783319116617: Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings (Lecture Notes in Artificial Intelligence, Band 8776)

Inhaltsangabe

This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.

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Über die Autorinnen und Autoren

Alexander Clark is a Lecturer in the Department of Computer Science at Royal Holloway, University of London. He is the co-author, with Shalom Lappin, of Linguistic Nativism and the Poverty of the Stimulus (Wiley-Blackwell, 2010).

Peter Auer ist Koch und hat in vielen renommierten Restaurants im In- und Ausland gelernt und gearbeitet. Sein kulinarisches Wissen gibt er auch als Referent an der Akademie des deutschen Hotel- und Gaststättenverbandes und in vielen Kochkursen weiter.

Von der hinteren Coverseite

This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.

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